
M.Tech — Computer Science & Engineering
Research-grade depth in computing.
M.Tech CSE
Programme
24 seats
Sanctioned Intake
Coursework + dissertation
Mode
R&D · academia · industry
Outcome
About the Department
The M.Tech in Computer Science & Engineering offers advanced coursework and a research dissertation for graduates seeking specialisation or an academic and R&D career.
Students engage with current research areas including data science, security, distributed systems and intelligent computing.
The programme nurtures publications, patents and pathways to doctoral study.
Vision
To advance research and advanced practice in Computer Science and Engineering.
Mission
- 01Provide advanced study in algorithms, systems and emerging computing areas.
- 02Develop independent research and publication capability.
- 03Bridge academia and industry through applied dissertation work.
Programmes Offered
- M.Tech — Computer Science & Engineering24 seats
Total sanctioned intake: 24
PEO's, PSO's & PO's
Program Educational Objectives (PEOs)
PEO1
Attain advanced competency in computer science enabling research and senior technical roles. (Professional Competency)
PEO2
Excel as researchers, academicians or senior engineers in industry. (Successful Career Goals)
PEO3
Contribute to the discipline through publications, patents and lifelong learning. (Continuing Education and Contribution to Society)
Program Specific Outcomes (PSOs)
PSO1
Conduct independent research and apply advanced computing concepts to solve complex problems.
PSO2
Design and evaluate scalable, intelligent and secure computing systems.
Program Outcomes (POs)
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Regulation and Syllabus
A two-year programme of advanced coursework and a research dissertation under the JNTUA postgraduate regulation, periodically revised by the Curriculum Development Cell.
Regulation documents and the detailed semester-wise syllabus are available from the department office and the college Exam Portal.
Faculty Profile
Dr. V. Janardhan Babu
Programme Coordinator (Professor & Head, CSE)
Ph.D
Dr. T. Sunil Kumar Reddy
Professor (Principal)
Ph.D
Dr. D. Nagaraju
Professor
Ph.D
Dr. B. Ramaganesh
Associate Professor
Ph.D
Dr. N. Srinivas Rao
Associate Professor
Ph.D
Dr. G. B. Hima Bindu
Associate Professor
Ph.D
Course Material
Subject-wise lecture notes, lesson plans, question banks, lab manuals and model papers are curated by the faculty and shared through the department's learning portal and class repositories.
Laboratory Facilities
Advanced Computing Lab
24 systemsHigh-performance workstations for advanced algorithms, data science and distributed-systems experiments.
Research & Dissertation Lab
12 systemsDedicated research stations with simulation, modelling and publication tooling.
Research Facilities
The programme is research-intensive, with dissertations aligned to current computing-research areas and supported by the institutional R&D Cell.
Research Thrust Areas
Mentor Details
Each scholar works closely with a faculty research guide who mentors coursework, literature review and dissertation through to publication.
Departmental Activities
- Research seminars and journal clubs
- Workshops on research methodology and tools
- Conference and paper-presentation participation
- Dissertation reviews and progress seminars
Professional Bodies
Department Library
A dedicated departmental library supplements the central library with titles, reference volumes, previous question papers, project reports and subscriptions to technical journals for ready student and faculty access.
Career outcomes are supported by the campus-wide Training & Placement Cell — explore placements →